2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.CR2025★ 2 cited
PP-GWAS: Privacy Preserving Multi-Site Genome-wide Association Studies
Arjhun Swaminathan, Anika Hannemann, Ali Burak Ãnal +2
Genome-wide association studies are pivotal in understanding the genetic underpinnings of complex traits and diseases. Collaborative, multi-site GWAS aim to enhance statistical pow…
cs.LG2024
CECILIA: Comprehensive Secure Machine Learning Framework
Ali Burak Ãnal, Nico Pfeifer, Mete Akgün
Since ML algorithms have proven their success in many different applications, there is also a big interest in privacy preserving (PP) ML methods for building models on sensitive da…